curl --request PATCH \
  --url https://api.tamtam.ai/api/v2/linkedin-content-signals/{id} \
  --header 'Authorization: <api-key>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "accept_all_posts": true,
  "author_profile_urls": [
    "<string>"
  ],
  "company_linkedin_ids": [
    "<string>"
  ],
  "contacts_list_ids": [
    "<string>"
  ],
  "detects_event_attendance": true,
  "is_enabled": true,
  "keyword_queries": [
    "<string>"
  ],
  "max_contacts_per_sweep": 250,
  "max_engagers_per_post": 250,
  "max_posts_per_contact": 25,
  "max_posts_per_sweep": 500,
  "mentioned_company_linkedin_ids": [
    "<string>"
  ],
  "mentioned_profile_urls": [
    "<string>"
  ],
  "min_engagements": 1,
  "name": "<string>",
  "post_filter": "<string>",
  "post_sources": [],
  "search_window": "<string>",
  "use_cases": [
    {
      "name": "Lean",
      "prompt": "The post mentions lean, kaizen or continuous improvement on the shop floor."
    }
  ]
}
'

import requests

url = "https://api.tamtam.ai/api/v2/linkedin-content-signals/{id}"

payload = {
    "accept_all_posts": True,
    "author_profile_urls": ["<string>"],
    "company_linkedin_ids": ["<string>"],
    "contacts_list_ids": ["<string>"],
    "detects_event_attendance": True,
    "is_enabled": True,
    "keyword_queries": ["<string>"],
    "max_contacts_per_sweep": 250,
    "max_engagers_per_post": 250,
    "max_posts_per_contact": 25,
    "max_posts_per_sweep": 500,
    "mentioned_company_linkedin_ids": ["<string>"],
    "mentioned_profile_urls": ["<string>"],
    "min_engagements": 1,
    "name": "<string>",
    "post_filter": "<string>",
    "post_sources": [],
    "search_window": "<string>",
    "use_cases": [
        {
            "name": "Lean",
            "prompt": "The post mentions lean, kaizen or continuous improvement on the shop floor."
        }
    ]
}
headers = {
    "Authorization": "<api-key>",
    "Content-Type": "application/json"
}

response = requests.patch(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'PATCH',
  headers: {Authorization: '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    accept_all_posts: true,
    author_profile_urls: ['<string>'],
    company_linkedin_ids: ['<string>'],
    contacts_list_ids: ['<string>'],
    detects_event_attendance: true,
    is_enabled: true,
    keyword_queries: ['<string>'],
    max_contacts_per_sweep: 250,
    max_engagers_per_post: 250,
    max_posts_per_contact: 25,
    max_posts_per_sweep: 500,
    mentioned_company_linkedin_ids: ['<string>'],
    mentioned_profile_urls: ['<string>'],
    min_engagements: 1,
    name: '<string>',
    post_filter: '<string>',
    post_sources: [],
    search_window: '<string>',
    use_cases: [
      {
        name: 'Lean',
        prompt: 'The post mentions lean, kaizen or continuous improvement on the shop floor.'
      }
    ]
  })
};

fetch('https://api.tamtam.ai/api/v2/linkedin-content-signals/{id}', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.tamtam.ai/api/v2/linkedin-content-signals/{id}",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "PATCH",
  CURLOPT_POSTFIELDS => json_encode([
    'accept_all_posts' => true,
    'author_profile_urls' => [
        '<string>'
    ],
    'company_linkedin_ids' => [
        '<string>'
    ],
    'contacts_list_ids' => [
        '<string>'
    ],
    'detects_event_attendance' => true,
    'is_enabled' => true,
    'keyword_queries' => [
        '<string>'
    ],
    'max_contacts_per_sweep' => 250,
    'max_engagers_per_post' => 250,
    'max_posts_per_contact' => 25,
    'max_posts_per_sweep' => 500,
    'mentioned_company_linkedin_ids' => [
        '<string>'
    ],
    'mentioned_profile_urls' => [
        '<string>'
    ],
    'min_engagements' => 1,
    'name' => '<string>',
    'post_filter' => '<string>',
    'post_sources' => [
        
    ],
    'search_window' => '<string>',
    'use_cases' => [
        [
                'name' => 'Lean',
                'prompt' => 'The post mentions lean, kaizen or continuous improvement on the shop floor.'
        ]
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: <api-key>",
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://api.tamtam.ai/api/v2/linkedin-content-signals/{id}"

	payload := strings.NewReader("{\n  \"accept_all_posts\": true,\n  \"author_profile_urls\": [\n    \"<string>\"\n  ],\n  \"company_linkedin_ids\": [\n    \"<string>\"\n  ],\n  \"contacts_list_ids\": [\n    \"<string>\"\n  ],\n  \"detects_event_attendance\": true,\n  \"is_enabled\": true,\n  \"keyword_queries\": [\n    \"<string>\"\n  ],\n  \"max_contacts_per_sweep\": 250,\n  \"max_engagers_per_post\": 250,\n  \"max_posts_per_contact\": 25,\n  \"max_posts_per_sweep\": 500,\n  \"mentioned_company_linkedin_ids\": [\n    \"<string>\"\n  ],\n  \"mentioned_profile_urls\": [\n    \"<string>\"\n  ],\n  \"min_engagements\": 1,\n  \"name\": \"<string>\",\n  \"post_filter\": \"<string>\",\n  \"post_sources\": [],\n  \"search_window\": \"<string>\",\n  \"use_cases\": [\n    {\n      \"name\": \"Lean\",\n      \"prompt\": \"The post mentions lean, kaizen or continuous improvement on the shop floor.\"\n    }\n  ]\n}")

	req, _ := http.NewRequest("PATCH", url, payload)

	req.Header.Add("Authorization", "<api-key>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.patch("https://api.tamtam.ai/api/v2/linkedin-content-signals/{id}")
  .header("Authorization", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"accept_all_posts\": true,\n  \"author_profile_urls\": [\n    \"<string>\"\n  ],\n  \"company_linkedin_ids\": [\n    \"<string>\"\n  ],\n  \"contacts_list_ids\": [\n    \"<string>\"\n  ],\n  \"detects_event_attendance\": true,\n  \"is_enabled\": true,\n  \"keyword_queries\": [\n    \"<string>\"\n  ],\n  \"max_contacts_per_sweep\": 250,\n  \"max_engagers_per_post\": 250,\n  \"max_posts_per_contact\": 25,\n  \"max_posts_per_sweep\": 500,\n  \"mentioned_company_linkedin_ids\": [\n    \"<string>\"\n  ],\n  \"mentioned_profile_urls\": [\n    \"<string>\"\n  ],\n  \"min_engagements\": 1,\n  \"name\": \"<string>\",\n  \"post_filter\": \"<string>\",\n  \"post_sources\": [],\n  \"search_window\": \"<string>\",\n  \"use_cases\": [\n    {\n      \"name\": \"Lean\",\n      \"prompt\": \"The post mentions lean, kaizen or continuous improvement on the shop floor.\"\n    }\n  ]\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.tamtam.ai/api/v2/linkedin-content-signals/{id}")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Patch.new(url)
request["Authorization"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"accept_all_posts\": true,\n  \"author_profile_urls\": [\n    \"<string>\"\n  ],\n  \"company_linkedin_ids\": [\n    \"<string>\"\n  ],\n  \"contacts_list_ids\": [\n    \"<string>\"\n  ],\n  \"detects_event_attendance\": true,\n  \"is_enabled\": true,\n  \"keyword_queries\": [\n    \"<string>\"\n  ],\n  \"max_contacts_per_sweep\": 250,\n  \"max_engagers_per_post\": 250,\n  \"max_posts_per_contact\": 25,\n  \"max_posts_per_sweep\": 500,\n  \"mentioned_company_linkedin_ids\": [\n    \"<string>\"\n  ],\n  \"mentioned_profile_urls\": [\n    \"<string>\"\n  ],\n  \"min_engagements\": 1,\n  \"name\": \"<string>\",\n  \"post_filter\": \"<string>\",\n  \"post_sources\": [],\n  \"search_window\": \"<string>\",\n  \"use_cases\": [\n    {\n      \"name\": \"Lean\",\n      \"prompt\": \"The post mentions lean, kaizen or continuous improvement on the shop floor.\"\n    }\n  ]\n}"

response = http.request(request)
puts response.read_body

{
  "accept_all_posts": true,
  "author_profile_urls": [
    "<string>"
  ],
  "collection": "engagers",
  "company_linkedin_ids": [
    "<string>"
  ],
  "contacts_list_ids": [
    "<string>"
  ],
  "created_at": "2023-11-07T05:31:56Z",
  "detects_event_attendance": true,
  "id": "<string>",
  "is_enabled": true,
  "keyword_queries": [
    "<string>"
  ],
  "max_contacts_per_sweep": 123,
  "max_engagers_per_post": 123,
  "max_posts_per_contact": 123,
  "max_posts_per_sweep": 123,
  "mentioned_company_linkedin_ids": [
    "<string>"
  ],
  "mentioned_profile_urls": [
    "<string>"
  ],
  "min_engagements": 123,
  "name": "Shop-floor visibility pains",
  "post_filter": "<string>",
  "post_sources": [
    "<string>"
  ],
  "search_sort": "date_posted",
  "search_window": "<string>",
  "subject": "engagers",
  "updated_at": "2023-11-07T05:31:56Z",
  "use_cases": [
    {
      "name": "Lean",
      "prompt": "The post mentions lean, kaizen or continuous improvement on the shop floor."
    }
  ],
  "last_sweep_engagers_collected": 123,
  "last_sweep_outcome": "<string>",
  "last_sweep_posts_analyzed": 123,
  "last_swept_at": "2023-11-07T05:31:56Z"
}

{
  "detail": "Property foo is required but is missing.",
  "errors": [
    {
      "location": "<string>",
      "message": "<string>",
      "value": "<unknown>"
    }
  ],
  "instance": "https://example.com/error-log/abc123",
  "status": 400,
  "title": "Bad Request",
  "type": "https://example.com/errors/example"
}